Kokyo Hosts Web Seminar Series on Python-Based Basics of Optics Taught by Toyohiko Yatagai
Kokyo hosts an 8-part Google Meet seminar series on optics basics using Python simulations based on Yatagai's book. OptiVideo premium members and students can attend for free, while general fee is 21,780 JPY per session.
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Kokyo Co., Ltd. is hosting an 8-part web seminar series titled 'Basics of Optics Learned through Python,' featuring Toyohiko Yatagai, Professor Emeritus of Utsunomiya University. The seminar is based on his book 'Basics of Optics Learned through Python' (Asakura Publishing). The series covers optical theory step-by-step from lens design to polarization analysis using visual Python simulations. General and OptiVideo free members can attend for 21,780 JPY per session (tax included) or 142,780 JPY for all 8 sessions. The lecture focuses on understanding optical phenomena through code execution outputs, making it accessible to Python beginners without coding during the session. Paid attendees receive the Python source codes developed by Yatagai. OptiVideo paid members and students attend the seminars for free, with the code bundle available separately for 33,000 JPY (tax included). Applications close two days before each session at 18:00.
FAQ
How much is the tuition fee for the seminar?
It is 21,780 JPY (tax included) per session or 142,780 JPY (tax included) for all 8 sessions for general participants and free OptiVideo members. It is free of charge for paid OptiVideo members and students.
Is there an additional fee for the distributed Python source code?
The code fee is included in the tuition for general participants and free OptiVideo members. Paid OptiVideo members and students who wish to receive the code must pay an additional 33,000 JPY (tax included).
What is the format of the seminar and what is the capacity?
The seminar is held online via Google Meet, with a capacity of 50 participants per session.
Do participants need to program during the lecture?
No programming practice is required during the lecture. Since participants learn by looking at Python execution results, beginners can comfortably attend.
When is the application deadline?
The deadline is 18:00, two days before the date of each session.